Triple
T5882442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fodom |
E130779
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Badiot |
E132659
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Badiot | Statement: [Fodom, closelyRelatedTo, Badiot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Badiot Context triple: [Fodom, closelyRelatedTo, Badiot]
-
A.
Badiot
chosen
Badiot is a regional variety of the Ladin language spoken in parts of the Dolomite region of northern Italy.
-
B.
Badian
Badian is a coastal municipality in southwestern Cebu, Philippines, known for attractions like Kawasan Falls and canyoneering activities.
-
C.
Didymus
Didymus is another name for the Apostle Thomas, one of Jesus Christ’s twelve original disciples in the New Testament.
-
D.
Odilon
Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
-
E.
Bertramus
Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03673ecd88190978993056b675259 |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b13330c88190b10f33843f10f51f |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:57 p.m.